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The dictionary was edited by the honorary director general of the board Maulvi Abdul Haq who had already been working on an Urdu dictionary since the establishment of the Urdu Dictionary Board, Karachi, in 1958. [1] [2] [3] Urdu Lughat consists of 22 volumes. In 2019, the board prepared a short concise version of the dictionary in 2 volumes.
The Urdu Dictionary Board (Urdu: اردو لغت بورڈ, romanized: Urdu Lughat Board) is an academic and literary institution of Pakistan, administered by National History and Literary Heritage Division of the Ministry of Information & Broadcasting. Its objective is to edit and publish a comprehensive dictionary of the Urdu language.
Feroz-ul-Lughat Urdu Jamia (Urdu: فیروز الغات اردو جامع) is an Urdu-to-Urdu dictionary published by Ferozsons (Private) Limited. It was originally compiled by Maulvi Ferozeuddin in 1897. The dictionary contains about 100,000 ancient and popular words, compounds, derivatives, idioms, proverbs, and modern scientific, literary ...
HTML Form format HTML 4.01 Specification since PDF 1.5; HTML 2.0 since 1.2 Forms Data Format (FDF) based on PDF, uses the same syntax and has essentially the same file structure, but is much simpler than PDF since the body of an FDF document consists of only one required object. Forms Data Format is defined in the PDF specification (since PDF 1.2).
Farhang-e-Asifiya (Urdu: فرہنگ آصفیہ, lit. 'The Dictionary of Asif') is an Urdu-to-Urdu dictionary compiled by Syed Ahmad Dehlvi. [1] It has more than 60,000 entries in four volumes. [2] It was first published in January 1901 by Rifah-e-Aam Press in Lahore, present-day Pakistan. [3] [4]
Urdu in its less formalised register is known as rekhta (ریختہ, rek̤h̤tah, 'rough mixture', Urdu pronunciation:); the more formal register is sometimes referred to as زبانِ اُردُوئے معلّٰى, zabān-i Urdū-yi muʿallá, 'language of the exalted camp' (Urdu pronunciation: [zəbaːn eː ʊrdu eː moəllaː]) or لشکری ...
ISO 639 is a set of international standards that lists short codes for language names. The following is a complete list of three-letter codes defined in part two of the standard, [1] including the corresponding two-letter codes where they exist.
The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words.It is used in natural language processing and information retrieval (IR).